Implementing research projects on community-based health care interventions in low-ressource settings is feasible with specific methods and applications. In order to critically understand all ins and outs of influencing factors involved in health care pathways for children and their mothers, we must consider to implement more than one research in the same context.

The objective of this presentation is to showcase the continuum of research projects starting from the assessment of the effectiveness of a combined nutrition and psychosocial intervention and its economic evaluation, and how that led to exploring social representations of malnutrition in order to better understand the link with health care seeking behaviours.

The FUSAM cluster randomized control trial included 427 were severe acutely malnourished (SAM) children and their mothers. They were divided in two groups receiving the standard nutrition treatment while the intervention group benefited from five psychosocial sessions. A battery of tests for child development and maternal mental health was administered pre and post intervention. For the economic evaluation, a data collection was conducted with 98 community members and District Public Health Office personnel in Saptari and 17 Action contre la Faim and government personnel in Kathmandu. Finally, a mixed-method study comparing social representations of malnutrition included 376 adults in Saptari and Nuwakot district. Data analysis was performed according to the study design: a multivariate model analysis for the CRCT, a micro-costing methodology to cost data collection and analysis was favored. For the mixed-method analysis, descriptive and inductive analysis were performed.

Regarding the child development, children in the intervention group showed higher scores than children in the control group at all time points. And the economic evaluation showed that the costs of adding psychosocial counselling to an existing CMAM program was approximately EUR 28,788 for 6 centers per year. However, referrals of children through the community-based screening were not optimal. The findings related to health seeking behaviors showed that different meaning categories were simultaneously resorted to by community members leading to different representations of SAM children and that relevant health advises were neither systematically nor uniquely associated to medical categories but are linked to different meaning categories depending on the cultural context.

Multiplying research projects is crucial to mitigate the limitations of the studies often facing numerous contextual challenges and ultimately to leverage further opportunities.

None Declared

The National Institute of Health has mandated good clinical practice (GCP) training for all clinical research investigators and professionals. We developed a GCP game using the Kaizen-Education platform. The GCP Kaizen game was designed to help clinical research professionals immerse themselves into applying International Conference on Harmonization GCP (R2) guidelines in the clinical research setting through case-based questions.

Students were invited to participate in the GCP Kaizen game as part of their 100% online academic Masters during the Spring 2019 semester. The structure of the game consisted of 75 original multiple choice and 25 repeated questions stemming from fictitious vignettes that were distributed across 10 weeks. Each question presented a teachable rationale after the answers were submitted. At the end of the game, a satisfaction survey was issued to collect player satisfaction data on the game platform, content, experience as well as perceptions of GCP learning and future GCP concept application.

There were 71 total players who participated and answered at least one question. Of those, 53 (75%) answered all 100 questions. The game had a high Cronbach’s alpha, and item analyses provided information on question quality, thus assisting us in future quality edits before re-testing and wider dissemination.

The GCP Kaizen game provides an alternative method for mandated GCP training using principles of gamification. It proved to be a reliable and an effective educational method with high player satisfaction.

Studies have criticized the low level of agreement between the various methods of personality disorder (PD) assessment. This is an important issue for research and clinical purposes.

Seven hundred and forty-two participants in the Hopkins Epidemiology of Personality Disorders Study (HEPS) were assessed on two occasions using the Personality Disorder Schedule (PDS) and the International Personality Disorder Examination (IPDE). The concordance between the two diagnostic methods for all DSM-IV PDs was assessed using standard methods and also two item response analytic approaches designed to take account of measurement error: a latent trait-based approach and a generalized estimating equations (GEE)-based approach, with post-hoc adjustment.

Raw criteria counts, using the intraclass correlation coefficient (ICC), κ and odds ratio (OR), showed poor concordance. The more refined statistical methods showed a moderate to moderately high level of concordance between the methods for most PDs studied. Overall, the PDS produced lower prevalences of traits but higher precision of measurement than the IPDE. Specific criteria within each PD showed varying endorsement thresholds and precision for ascertaining the disorder.

Concordance in the raw measurement of the individual PD criteria between the two clinical methods is lacking. However, based on two statistical methods that adjust for differential endorsement thresholds and measurement error in the assessments, we deduce that the PD constructs themselves can be measured with a moderate degree of confidence regardless of the clinical approach used. This may suggest that the individual criteria for each PD are, in and of themselves, less specific for diagnosis, but as a group the criteria for each PD usefully identify specific PD constructs.

Obsessive–compulsive disorder (OCD) is probably an etiologically heterogeneous condition. Many patients manifest other psychiatric syndromes. This study investigated the relationship between OCD and co-morbid conditions to identify subtypes.

Seven hundred and six individuals with OCD were assessed in the OCD Collaborative Genetics Study (OCGS). Multi-level latent class analysis was conducted based on the presence of eight co-morbid psychiatric conditions [generalized anxiety disorder (GAD), major depression, panic disorder (PD), separation anxiety disorder (SAD), tics, mania, somatization disorders (Som) and grooming disorders (GrD)]. The relationship of the derived classes to specific clinical characteristics was investigated.

Two and three classes of OCD syndromes emerge from the analyses. The two-class solution describes lesser and greater co-morbidity classes and the more descriptive three-class solution is characterized by: (1) an OCD simplex class, in which major depressive disorder (MDD) is the most frequent additional disorder; (2) an OCD co-morbid tic-related class, in which tics are prominent and affective syndromes are considerably rarer; and (3) an OCD co-morbid affective-related class in which PD and affective syndromes are highly represented. The OCD co-morbid tic-related class is predominantly male and characterized by high conscientiousness. The OCD co-morbid affective-related class is predominantly female, has a young age at onset, obsessive–compulsive personality disorder (OCPD) features, high scores on the ‘taboo’ factor of OCD symptoms, and low conscientiousness.

OCD can be classified into three classes based on co-morbidity. Membership within a class is differentially associated with other clinical characteristics. These classes, if replicated, should have important implications for research and clinical endeavors.